def testGetMedianSamplingInterval(self):
timestamps = numpy.array([datetime.datetime(2000, 1, 1) +
datetime.timedelta(hours=i) for i in xrange(24)])
(medianSamplingInterval,
medianAbsoluteDev) = param_finder._getMedianSamplingInterval(timestamps)
self.assertAlmostEqual(medianSamplingInterval,
numpy.timedelta64(3600, 's'))
self.assertAlmostEqual(medianAbsoluteDev,
numpy.timedelta64(0, 's'))
def testGetMedianSamplingInterval(self):
timestamps = numpy.array([
datetime.datetime(2000, 1, 1) + datetime.timedelta(hours=i)
for i in xrange(24)
])
(medianSamplingInterval, medianAbsoluteDev
) = param_finder._getMedianSamplingInterval(timestamps)
self.assertAlmostEqual(medianSamplingInterval,
numpy.timedelta64(3600, 's'))
self.assertAlmostEqual(medianAbsoluteDev, numpy.timedelta64(0, 's'))
def testGetMedianSamplingInterval(self):
timestamps = numpy.array([
datetime.datetime(2000, 1, 1) + datetime.timedelta(hours=i)
for i in xrange(24)
])
timestamps = timestamps.astype('datetime64[ms]')
medianSamplingIntervalInMs = param_finder._getMedianSamplingInterval(
timestamps)
self.assertAlmostEqual(medianSamplingIntervalInMs,
numpy.timedelta64(3600 * 1000, 'ms'))
def testGetMedianSamplingInterval(self):
timestamps = numpy.array([datetime.datetime(2000, 1, 1) + datetime.timedelta(hours=i) for i in xrange(24)])
timestamps = timestamps.astype("datetime64[ms]")
medianSamplingIntervalInMs = param_finder._getMedianSamplingInterval(timestamps)
self.assertAlmostEqual(medianSamplingIntervalInMs, numpy.timedelta64(3600 * 1000, "ms"))
